Create Skill
Create a reusable skill from exactly one uploaded zip, prompt, or chat session.
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Integrate VLM Run
with your AI CRM
VLM Run provides multimodal agents, structured extraction, predictions, files, skills, feedback, and evaluation APIs.
Explore Triggers and Actions
Discover Extraction Schemas
List supported structured-extraction domains, or return the full JSON schema for one domain when domain is provided.
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Execute Agent
Start a VLM Run agent execution from an existing agent name or inline configuration over multimodal inputs. Execution may consume credits and is asynchronous by default; poll the returned ID with VLM_RUN_GET_RUN.
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Extract Structured JSON
Start structured JSON extraction from images, a document, a video, or audio using a domain, custom schema, or skill. Extraction may consume credits; document, video, and audio runs are asynchronous by default, so poll the returned prediction ID with VLM_RUN_GET_RUN.
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Find Files
List uploaded files or find one by file ID or MD5 hash. In list mode, use offset and limit until has_more is false.
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Find Skills
List VLM Run skills or find one exact skill by ID, name, and optional version. In list mode, continue from next_offset while has_more is true.
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Get Run
Get the current status and result of one structured-extraction prediction or agent execution; call repeatedly to poll asynchronous work.
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List Agents
Return agents available to the connected account for selection before execution.
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List Artifacts
List artifact metadata belonging to exactly one chat session or agent execution. Use offset and limit to traverse pages until has_more is false.
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List Runs
List structured-extraction predictions or agent executions for the connected account. Use offset and limit to traverse pages until has_more is false.
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Upload File
Upload a local file to VLM Run for extraction, agent input, or skill creation. Retain the returned file ID for tools that consume uploaded files.
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How the VLM Run integration works
The VLM Run integration connects your Dench AI CRM directly to VLM Run, so agents can read and act on your VLM Run data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
11 actions are available for agents to invoke on your behalf. Every call runs through VLM Run's own authorization, scoped to the account you connect.
Set up VLM Run in Dench
- 1
Sign in to your Dench workspace and open Integrations.
- 2
Find VLM Run and click Connect — you'll authorize access through VLM Run's own sign-in flow. No API keys or code required.
- 3
Ask an agent to use VLM Run in chat, or call it from an automation.
- 4
Manage or disconnect the connection any time from workspace settings.
Frequently asked questions
How does the VLM Run integration work with Dench?
The Dench VLM Run integration connects your AI CRM to VLM Run, so AI agents can work with your VLM Run data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.
What actions can AI agents perform with VLM Run via Dench?
The VLM Run integration currently exposes 11 actions, including Create Skill, Discover Extraction Schemas, Execute Agent, Extract Structured JSON, Find Files, and Find Skills. Agents invoke them on your behalf from chat or from automations.
Do I need to write code to connect VLM Run to Dench?
No. You connect VLM Run from your Dench workspace using VLM Run's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Is the VLM Run integration secure?
Connections are authorized through VLM Run's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the VLM Run connection from your workspace settings at any time.